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egs/yomdle_korean/v1/local/process_data.py
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#!/usr/bin/env python3
# Copyright 2018 Ashish Arora
# 2018 Chun Chieh Chang
""" This script reads the extracted Tamil OCR (yomdle and slam) database files
and creates the following files (for the data subset selected via --dataset):
text, utt2spk, images.scp.
Eg. local/process_data.py data/download/ data/local/splits/train.txt data/train
Eg. text file: english_phone_books_0001_1 To sum up, then, it would appear that
utt2spk file: english_phone_books_0001_0 english_phone_books_0001
images.scp file: english_phone_books_0001_0 \
data/download/truth_line_image/english_phone_books_0001_0.png
"""
import argparse
import os
import sys
import csv
import itertools
import unicodedata
import re
import string
import unicodedata
parser = argparse.ArgumentParser(description="Creates text, utt2spk, and images.scp files")
parser.add_argument('database_path', type=str, help='Path to data')
parser.add_argument('data_split', type=str, help='Path to file that contain datasplits')
parser.add_argument('out_dir', type=str, help='directory to output files')
args = parser.parse_args()
### main ###
print("Processing '{}' data...".format(args.out_dir))
text_file = os.path.join(args.out_dir, 'text')
text_fh = open(text_file, 'w', encoding='utf-8')
utt2spk_file = os.path.join(args.out_dir, 'utt2spk')
utt2spk_fh = open(utt2spk_file, 'w', encoding='utf-8')
image_file = os.path.join(args.out_dir, 'images.scp')
image_fh = open(image_file, 'w', encoding='utf-8')
with open(args.data_split) as f:
for line in f:
line = line.strip()
image_id = line
image_filename = image_id + '.png'
image_filepath = os.path.join(args.database_path, 'truth_line_image', image_filename)
if not os.path.isfile (image_filepath):
print("File does not exist {}".format(image_filepath))
continue
line_id = int(line.split('_')[-1])
csv_filename = '_'.join(line.split('_')[:-1]) + '.csv'
csv_filepath = os.path.join(args.database_path, 'truth_csv', csv_filename)
csv_file = open(csv_filepath, 'r', encoding='utf-8')
for row in csv.reader(csv_file):
if row[1] == image_filename:
text = row[11]
text_vect = text.split() # this is to avoid non-utf-8 spaces
text = " ".join(text_vect)
#text_normalized = unicodedata.normalize('NFD', text).replace('
', '')
if not text:
continue
text_fh.write(image_id + ' ' + text + '
')
utt2spk_fh.write(image_id + ' ' + '_'.join(line.split('_')[:-1]) + '
')
image_fh.write(image_id + ' ' + image_filepath + '
')
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